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MLSUM: The Multilingual Summarization Corpus

Abstract : We present MLSUM, the first large-scale MultiLingual SUMmarization dataset. Obtained from online newspapers, it contains 1.5M+ article/summary pairs in five different languages – namely, French, German, Spanish, Russian, Turkish. Together with English news articles from the popular CNN/Daily mail dataset, the collected data form a large scale multilingual dataset which can enable new research directions for the text summarization community. We report cross-lingual comparative analyses based on state-of-the-art systems. These highlight existing biases which motivate the use of a multi-lingual dataset.
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Contributor : Benjamin Piwowarski Connect in order to contact the contributor
Submitted on : Monday, October 4, 2021 - 4:19:19 PM
Last modification on : Tuesday, November 16, 2021 - 5:13:09 AM

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Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano. MLSUM: The Multilingual Summarization Corpus. 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 2020, Online, France. pp.8051-8067, ⟨10.18653/v1/2020.emnlp-main.647⟩. ⟨hal-03364407⟩



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